Sriram Subramanian

11.1k citations
214 papers · 6.5k indexed · 2 hit papers · h-index 39
Topics
Interactive and Immersive Displays (101 papers)Tactile and Sensory Interactions (85 papers)Augmented Reality Applications (29 papers)

In The Last Decade

Sriram Subramanian

195 papers receiving 6.3k citations

Hit Papers

Talking about tactile experiences201320262017202120132015250500750

Peers

Sriram Subramanian
Comparison fields: 5 of 176
  • Human-Computer Interaction 2.8k
  • Cognitive Neuroscience 2.4k
  • Biomedical Engineering 1.6k
  • Computer Vision and Pattern Recognition 1.0k
  • Mechanical Engineering 787
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Citations per field
00.5×3.0×
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Citations per year

Countries citing papers authored by Sriram Subramanian

Since Specialization
Citations

This map shows the geographic impact of Sriram Subramanian's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sriram Subramanian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sriram Subramanian more than expected).

Fields of papers citing papers by Sriram Subramanian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sriram Subramanian. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sriram Subramanian. The network helps show where Sriram Subramanian may publish in the future.

Co-authorship network of co-authors of Sriram Subramanian

This figure shows the co-authorship network connecting the top 25 collaborators of Sriram Subramanian. A scholar is included among the top collaborators of Sriram Subramanian based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sriram Subramanian. Sriram Subramanian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 5
4 2
5 6
6 6
7 4
8
Model governance: reducing the anarchy of production ML
19
9 34
10 28
11
Proceedings of the 16th international conference on Human-computer interaction with mobile devices & services
63
12 0
13 11
14 1
15 4
16
Bubble radar : efficient pen-based interaction
0
17
Superflick: a natural and efficient technique for long-distance object placement on digital tables
43
18
The Visual Interaction Platform
3
19
Empirical evaluation of performance in hybrid 3D and 2D interfaces
6
20
Visual Interaction Platform.
4

About Sriram Subramanian

Sriram Subramanian is a scholar working on Human-Computer Interaction, Cognitive Neuroscience and Computer Vision and Pattern Recognition, having authored 214 papers that have together received 6.5k indexed citations. Recurring topics across this work include Interactive and Immersive Displays (101 papers), Tactile and Sensory Interactions (85 papers) and Augmented Reality Applications (29 papers). The work is most often cited by research in Human-Computer Interaction (2.8k citations), Cognitive Neuroscience (2.4k citations) and Computer Vision and Pattern Recognition (1.0k citations). Sriram Subramanian has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include Sue Ann Seah, Marianna Obrist, Benjamin Long, Bruce W. Drinkwater, Deepak Ranjan Sahoo, Diego Martínez Plasencia, Asier Marzo, Pourang Irani, Tom Carter and Jason Alexander. Their work appears in journals such as Nature, Nature Communications and Applied Physics Letters.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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